Removed Storm Contents Phase 2

Removed Storm Contents Phase 2

Author: sreekzz

articles/hdinsight/hadoop/apache-hadoop-etl-at-scale.md

@@ -4,7 +4,7 @@ description: Learn how extract, transform, and load is used in HDInsight with Ap
 ms.service: hdinsight
 ms.topic: how-to
 ms.custom: hdinsightactive,seoapr2020
-ms.date: 04/01/2022
+ms.date: 11/17/2022
 ---
 
 # Extract, transform, and load (ETL) at scale
@@ -66,7 +66,7 @@ Azure Data Lake Storage is a managed, hyperscale repository for analytics data.
 
 Data is usually ingested into Data Lake Storage through Azure Data Factory. You can also use Data Lake Storage SDKs, the AdlCopy service, Apache DistCp, or Apache Sqoop. The service you choose depends on where the data is. If it's in an existing Hadoop cluster, you might use Apache DistCp, the AdlCopy service, or Azure Data Factory. For data in Azure Blob storage, you might use Azure Data Lake Storage .NET SDK, Azure PowerShell, or Azure Data Factory.
 
-Data Lake Storage is optimized for event ingestion through Azure Event Hubs or Apache Storm.
+Data Lake Storage is optimized for event ingestion through Azure Event Hubs.
 
 ### Considerations for both storage options